Exploring Adaptive Regression Loss and Feature Focusing in Industrial Scenarios. - Mingle Zhou; Zhanzhi Su; Min Li 033; Delong Han; Gang Li 005 (ICONIP (6), 2023)

Rethinking the Helmet Wearing Detection Algorithm Based on Reinforcement Feature and Loss Function in Complex Tunnel Scenes. - Min Zhang; Hongliang Liu; Yuanfa Jia; Zhanzhi Su; Weitian Su; Hui Cai; Zongliang Hou; Qianlong Liu (RICAI, 2023)

Rethinking interactive networks and regression loss functions for industrial defect detection. - Zhanzhi Su; Mingle Zhou; Honglin Wan; Min Li 033; Zekai Zhang; Delong Han; Rui Shao; Gang Li 005 (J. King Saud Univ. Comput. Inf. Sci., 2023)

CB-YOLO: A Small Object Detection Algorithm for Industrial Scenarios. - Hao Chen; Xiaoming Wu; Zhanzhi Su; Ying Zhao; Yunfeng Dong; Xiangzhi Liu (SMC, 2024)

Revisiting the application of twin connected parallel networks and regression loss functions in industrial defect detection. - Zhanzhi Su; Mingle Zhou; Min Li 033; Zekai Zhang; Delong Han; Gang Li 005 (Adv. Eng. Informatics, 2024)

CSDD-Net: A cross semi-supervised dual-feature distillation network for industrial defect detection. - Mingle Zhou; Zhanzhi Su; Min Li 033; Yingjie Wang 002; Gang Li 005 (Knowl. Based Syst., 2024)

Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline. - Zekai Zhang; Qinghui Chen; Maomao Xiong; Shijiao Ding; Zhanzhi Su; Xinjie Yao; Yiming Sun; Cong Bai; Jinglin Zhang (AAAI, 2025)